We experiment on the popular image benchmark CIFAR10 [1]}
that has \(32\times 32\)  color images with 50000 training and 10000 test. We extract data from classes 0 and 1 and experiment on binary classification between them. This gives us a total of 10000 training and 1000 test examples. We normalize each image by dividing each pixel value by 255.
